Machine Learning Algorithms. Here's the End-to-End.

While there are several documents and articles on machine learning algorithms, I wanted to provide a summary of the most common ones I use as a professional data scientist. Additionally, I will include some sample code with dummy data so that you can start executing various models! Whereas unsupervised learning, like the commonly used K-means algorithm, aims to groups similar groups of data together without labels, supervised learning, or classification -- well, classifies data into various categories. A simple example of classification is described below. The classification model learns from the features about the fruits to suggest an input food a fruit label.